Computer vision for recognizing household objects works better for people in high-income households, according to analysis of 6 major object detection systems shared today by Facebook AI researchers. The study examined object classification systems made by Facebook, Google Cloud, Microsoft Azure, AWS, IBM Watson, and Clarifai.

Results show the 6 systems work between 10-20% better for the wealthiest households than they do for the poorest households.

A company spokesperson declined to share specific figures on the performance of other individual companies, but Facebook’s system had an accuracy gap as high as 20% between a home making $3,500 a month or more in the United States and a household with an income of $50 a month or less in countries like Somalia and Burkina Faso.

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